Classifications

• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L25/00—Baseband systems
  • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
  • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
  • H04L25/03006—Arrangements for removing intersymbol interference
  • H04L25/03159—Arrangements for removing intersymbol interference operating in the frequency domain
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L27/00—Modulated-carrier systems
  • H04L27/26—Systems using multi-frequency codes
  • H04L27/2601—Multicarrier modulation systems
  • H04L27/2647—Arrangements specific to the receiver only
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L25/00—Baseband systems
  • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
  • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
  • H04L25/03006—Arrangements for removing intersymbol interference
  • H04L2025/0335—Arrangements for removing intersymbol interference characterised by the type of transmission
  • H04L2025/03375—Passband transmission
  • H04L2025/03414—Multicarrier
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L25/00—Baseband systems
  • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
  • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
  • H04L25/03006—Arrangements for removing intersymbol interference
  • H04L2025/03433—Arrangements for removing intersymbol interference characterised by equaliser structure
  • H04L2025/03439—Fixed structures
  • H04L2025/03522—Frequency domain
• • H—ELECTRICITY
  • H04—ELECTRIC COMMUNICATION TECHNIQUE
  • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
  • H04L25/00—Baseband systems
  • H04L25/02—Details ; arrangements for supplying electrical power along data transmission lines
  • H04L25/03—Shaping networks in transmitter or receiver, e.g. adaptive shaping networks
  • H04L25/03006—Arrangements for removing intersymbol interference
  • H04L2025/03592—Adaptation methods
  • H04L2025/03598—Algorithms
  • H04L2025/03605—Block algorithms

Definitions

• the invention relates to a transmission system for transmitting a multicarrier signal from a transmitter to a receiver.
• the invention further relates to a receiver for receiving a multicarrier signal from a transmitter, an equalizer for canceling intercarrier interference included in a multicarrier signal, and to a method of canceling intercarrier interference included in a multicarrier signal.
• Multicarrier signal modulation methods such as OFDM and MC-CDMA, have been around for some time now.
• Multiplexing is a modulation method designed in the 1970's in which multiple user symbols are transmitted in parallel using different subcarriers. These subcarriers have overlapping (sine-shaped) spectra, nonetheless the signal waveforms are orthogonal.
• OFDM transmits symbols which have a relatively long time duration, but a narrow bandwidth.
• OFDM systems are designed such that each subcarrier is small enough in bandwidth to experience frequency-flat fading. This also ensures that the subcarriers remain orthogonal when received over a (moderately) frequency selective but time-invariant channel. If the OFDM signal is received over such a channel, each subcarrier experiences a different attenuation, but no dispersion.
• ICI is cancelled (i.e. detected and removed from the received multicarrier signal) in the receiver by means of an equalizer.
• This equalizer comprises a digital filter which derives a vector of estimated symbols from a vector of received symbols.
• the filter in the known transmission system is relatively complex, i.e. a relatively large number of computations is needed to implement the filter.
• This object is achieved in the transmission system according to the invention, said transmission system being arranged for transmitting a multicarrier signal from a transmitter to a receiver, the receiver comprising an equalizer for canceling intercarrier interference included in the received multicarrier signal, wherein the equalizer comprises a reduced complexity filter for deriving a vector of estimated symbols from a vector of received symbols.
• the invention is based upon the recognition that the complexity of the filter can be substantially reduced without seriously affecting the ICI cancellation procedure.
• the equalizer is a MMSE equalizer which is a linear filter which extracts the transmitted symbols of each subcarrier so that the signal to interference and noise ratio (SINR) is maximized.
• the reduced complexity filter comprises a multiplication of an approximation of an inverse matrix R "1 with the vector of received symbols. In order to arrive at the vector of estimated symbols the filter has to multiply the vector of received symbols with an inverse N x N matrix, with N being the number of subcarriers. This results in the known transmission system in a substantial computational burden, mainly because of the matrix inversion which has a complexity that is cubic with respect to N.
• a reduced complexity filter can be realized by implementing the matrix inversion in a more efficient manner, e.g. by approximating the inverse matrix R "1 .
• Computer simulations have shown that already a first order approximation of the inverse matrix R '1 gives good results.
• Fig. 1 shows a block diagram of a transmission system according to the invention
• Figs. 2 and 3 show graphs illustrating the performance of the transmission system according to the invention.
• the invention is based upon the development of a simple and reliable channel representation.
• a multicarrier transmission system e.g. an OFDM or MC-CDMA transmission system, with N subcarriers spaced by f s .
• Each subcarrier has a rectangular envelope of a finite length that, including the cyclic extension, exceeds (1 / f s ) .
• s [J, ,...,s N ] 7 be a vector of N transmitted symbols, then the transmitted continuous time baseband signal may be written as follows:
• N x(t) ⁇ s k exp(i2 ⁇ f s kt) .
• the received continuous time signal may be written as follows:
• H k (t) represents the time-varying frequency response at the k -th subcarrier, for l ⁇ k ⁇ N , and wherein «(t) is AGWN within the signal bandwidth.
• «(t) is AGWN within the signal bandwidth.
• the time varying channel H k (t) may also take into account a residual frequency offset, after the coarse frequency synchronization.
• the received baseband signal is sampled with a sampling offset t 0 and a rate
• T ) is subject to a fast fourier transform (FFT) of size N.
• FFT fast fourier transform
• N- ⁇ N- ⁇ y k a k s k + ⁇ d.s, ⁇ ⁇ n I N) exp(-i2 ⁇ (k - l)n IN) + n k , (5)
• an inter-carrier interference occurs when the channel response varies in time (i.e. d ⁇ 0 ).
• This interference is defined by the vector d as well as the fixed Nx N matrix ⁇ . It can be is easily seen that according to (8) the latter matrix is a Toeplitz Hermitian matrix and that
• the set of channel parameters a and d should be estimated.
• the estimation accuracy of these 2N scalar parameters may be enhanced if the statistical properties of the channel are used.
• we may rewrite (6) and (7) as follows: , 1 ⁇ / ⁇ N . (10) Let us analyze the relationship between the quantities ⁇ , d and physical parameters of the propagation channel, namely the set of its K propagation delays ⁇ 0 ,..., ⁇ ⁇ ⁇ , the corresponding Doppler shifts ⁇ / 0 ,...,/ ⁇ ⁇ , and complex amplitudes ⁇ h 0 , ...
• H l ⁇ t ⁇ h n cxp(i2 ⁇ (f - f s l ⁇ n )),
• the relationships (10) and (11) may be readily used to deduce the statistical properties of the amplitudes a and derivatives d.
• the set of coefficients H, (t), H, ⁇ t) ⁇ l ⁇ l ⁇ N may be considered jointly Gaussian distributed.
• the sets H, (t)/ 1 ⁇ / ⁇ , and [H ⁇ t)) ⁇ l ⁇ N are mutually uncorrelated when the sets ⁇ h k ⁇ l ⁇ k ⁇ and [f k ⁇ l ⁇ k ⁇ are statistically independent and the Doppler spectrum has a symmetric shape.
• the vectors a and d may be assumed statistically independent multivariate Gaussian with zero mean and covariance matrices
• the outlined channel model is characterized by 2N parameters, the number of independent degrees of freedom is substantially smaller in practice. This property comes from the fact that the propagation delay spread is often much smaller than the word duration. This property also means that the entries of a are strongly correlated, to the extend that the covariance matrix C a may be accurately approximated by a low-rank matrix.
• sequence of eigenvalues may be accurately approximated with a relatively small number r of non-zero values: ⁇ ,..., ⁇ N ⁇ ⁇ ⁇ x ,..., ⁇ .,0... ⁇ .
• the aforementioned properties of the channel parameters can be extensively used to derive reduced complexity procedures for channel equalization with ICI removal.
• Fig. 1 shows a block diagram of a transmission system according to the invention.
• the transmission system comprises a transmitter 10 and a receiver 20.
• the transmission system may comprise further transmitters 10 and receivers 20.
• the transmitter may comprise further transmitters 10 and receivers 20.
• the 10 transmits a multicarrier signal via a wireless channel to the receiver 20.
• the multicarrier signal may be an OFDM signal or a MC-CDMA signal.
• the receiver 20 comprises a demodulator 22 for demodulating the multicarrier signal.
• the demodulator 22 may be implemented by means of a FFT.
• the demodulated multicarrier signal, comprising vectors of received symbols, is supplied by the demodulator 22 to an equalizer 24.
• the equalizer 24 cancels intercarrier interference which may be included in the received multicarrier signal.
• the equalizer 24 outputs vectors of estimated symbols 25 (which have been derived from the vectors of received symbols) to a (soft) sheer 26.
• the slicer 26 produces soft metrics (soft decisions) and/or binary estimates (hard decisions) of the coded bits to be used in the further signal processing parts of the receiver (which are not shown), e.g. a FEC decoder.
• the equalizer 24 may comprise a reduced complexity filter for deriving a vector of estimated symbols 25 from a vector of received symbols 23.
• the reduced complexity filter may be a FIR filter which implements the function F - B H P ⁇ l [I N - Q]y (see expression (18)).
• the FIR filter has (Am + 1) taps and varies depending on the subcarrier. According to (18), the tap coefficients corresponding to the k -th subcarrier are given by (Am + 1) nonzero entries of the k -th row of F (recall that F is a band matrix with a non-zero band of width (Am + 1)) .
• Figs. 2 and 3 the performance of the transmission system according to the invention (i.e. with reduced complexity filtering) is compared to a conventional OFDM transmission system (i.e. without any ICI cancellation). Furthermore, a transmission system with an exact MMSE equalizer (i.e. the inverse matrix is calculated exactly) is also used as a benchmark.
• a WLAN scenario is considered. A total number of N subcarriers is transmitted in the 17 GHz band with a signal bandwidth of 2 MHz.
• the propagation channel has a RMSE delay spread of 50 ns and that a cyclic prefix accommodates the overall ISI spread.
• the receiver is assumed to move at a speed of 200 km/h.
• Graphs 34 and 44 represent the behavior of the transmission system with exact MMSE equalizer.
• the ICI floor (around 20 dB for the conventional OFDM transmission system) disappears when the exact MMSE equalizer is used.
• the difference in the residual ICI caused by the band approximation stays beneath the additive noise level.
• the gap between the exact MMSE and our simplified solution is due to the approximate matrix inversion.
• the reduced complexity filter may be implemented by means of digital hardware or by means of software which is executed by a digital signal processor or by a general purpose microprocessor.

Landscapes

• Engineering & Computer Science (AREA)
• Computer Networks & Wireless Communication (AREA)
• Signal Processing (AREA)
• Power Engineering (AREA)
• Cable Transmission Systems, Equalization Of Radio And Reduction Of Echo (AREA)
• Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
• Noise Elimination (AREA)

Priority Applications (2)

Applications Claiming Priority (2)

Publications (2)

Family

ID=8179936

Family Applications (1)

Country Status (5)

Cited By (5)

Families Citing this family (13)

Citations (1)

Family Cites Families (24)

• 2002
  • 2002-01-16 JP JP2002566925A patent/JP4164363B2/ja not_active Expired - Fee Related
  • 2002-01-16 EP EP02742447A patent/EP1364505A2/en not_active Withdrawn
  • 2002-01-16 WO PCT/IB2002/000126 patent/WO2002067525A2/en not_active Application Discontinuation
  • 2002-01-16 CN CN02800356XA patent/CN1659841A/zh active Pending
  • 2002-02-19 US US10/078,936 patent/US7120209B2/en not_active Expired - Fee Related

Patent Citations (1)

Non-Patent Citations (3)

Also Published As

Similar Documents

Legal Events